Postdoctoral Researcher

Muhammad Mohsin, PhD

AI · Computer Vision · Sustainable Circular Economy

DIBRIS – Dept. of Informatics, Bioengineering, Robotics & Systems Engineering
University of Genoa, Genoa, Italy

I am a computer scientist specializing in AI-driven sustainable circular economy solutions, with a focus on electronic waste recycling and critical raw materials recovery. My research combines deep learning, computer vision, and edge computing to build intelligent systems for automated disassembly and sorting of waste electrical and electronic equipment (WEEE). I also work on medical imaging analysis applications.

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University of Genoa

News & Upcoming Events

What's Coming Up

Aug

2026

Open Call · Special Session Organizer

"AI-Powered Innovations for Circular Economy: Advancing Sustainable Recycling"

📢 IEEE 10th RTSI 2026 · Aalto University, Espoo, Finland · 16–18 August 2026

AI & Recycling Computer Vision Robotics Edge AI Circular Economy

Submission Deadline 05 Jun 2026

📄 View CFP

Research Interests

Areas of Focus

♻

Circular Economy & E-Waste

AI-powered solutions for WEEE recycling, critical raw materials recovery, and sustainable electronic waste management through automated disassembly systems.

👁

Computer Vision & Deep Learning

Object detection, image segmentation, transformer architectures, and transfer learning for industrial and environmental applications.

🔬

Medical Imaging Analysis

Deep learning for automated medical image analysis, including cancer grading systems and diagnostic assistance tools.

Recent Work

Recent Publications

2025

MDPI Sensors

A Systematic Literature Review on the Implementation and Challenges of Zero Trust Architecture Across Domains

Sadaf Mushtaq, Muhammad Mohsin, Muhammad Mujahid Mushtaq

↗ DOI: 10.3390/s25196118

2025

MDPI Computers

Artificial Intelligence Approach for Waste-Printed Circuit Board Recycling: A Systematic Review

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri

↗ DOI: 10.3390/computers14080304

2025

MDPI Computers

Automatic Disassembly of Waste Printed Circuit Boards: The Role of Edge Computing and IoT

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri

↗ DOI: 10.3390/computers14020062

Publications

Journal Articles

J07

R Hussain, Muhammad Mohsin, D Khan, M Zohaib. "A Systematic Review of Deep Learning Approaches for Hepatopancreatic Tumor Segmentation." Journal of Imaging, 2026. [PDF Link]

J06

Muhammad Mohsin, S Rovetta, F Masulli, A Cabri. "Transition Towards a Circular and Resource-Efficient Economy: An Artificial Intelligence Perspective." Applied Sciences, 2026.

J05

Sadaf Mushtaq, Muhammad Mohsin, Muhammad Mujahid Mushtaq. "A Systematic Literature Review on the Implementation and Challenges of Zero Trust Architecture Across Domains." MDPI Sensors, 2025. DOI: 10.3390/s25196118

J04

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Artificial Intelligence Approach for Waste-Printed Circuit Board Recycling: A Systematic Review." MDPI Computers, 2025. DOI: 10.3390/computers14080304

J03

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Automatic Disassembly of Waste Printed Circuit Boards: The Role of Edge Computing and IoT." MDPI Computers, 2025. DOI: 10.3390/computers14020062

J02

Fatima Batool, Muhammad Mohsin, Belal Mahmoud Alwadi. "Green Innovation and Environmental Performance: The Moderating Roles of Governance and Policy." MDPI World, 2025. DOI: 10.3390/world6010029

J01

Fatima Batool, Muhammad Mohsin. "Impact of Green Innovation on Business Sustainability of Firms and the Mediating Role of Green Intellectual Capital." Educational Administration: Theory and Practice, 30(4), 2024. DOI: 10.53555/kuey.v30i4.1528

Conference Papers

C12

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Valorization of Waste Electrical and Electronic Equipment: Integrating AI into Sustainable WEEE Management." IEEE 9th RTSI, Gammarth, Tunisia, 2025. DOI: 10.1109/RTSI64020.2025.11212336

C11

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Heatmap Visualization for Deep Learning Analysis of Waste Printed Circuit Boards." IEEE ECIS 2025, Yueyang, China. DOI: 10.1109/ECIS65594.2025.11086768

C10

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Semi-Supervised Multi-Stage Transfer Learning for Electronic Component Detection." IEEE 9th RTSI, Gammarth, Tunisia, 2025. DOI: 10.1109/RTSI64020.2025.11212252

C09

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Adaptive Multi-Stage Transfer Learning Approach for Electronic Component Detection in Waste Printed Circuit Boards." ICASET 2025, Kenitra, Morocco. DOI: 10.1007/978-3-031-98334-4_13

C08

Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Alberto Cabri. "Real-Time Detection of Electronic Components in Waste Printed Circuit Boards: A Transformer-Based Approach." ApplePies 2024, Polytechnic University of Turin. DOI: 10.1007/978-3-031-84100-2_21

C07

Muhammad Mohsin, Francesco Masulli, Stefano Rovetta, Danilo Greco, Alberto Cabri. "Deep Learning-Powered Computer Vision System for Selective Disassembly of Waste Printed Circuit Boards." IEEE RTSI 2024, Politecnico di Milano. DOI: 10.1109/RTSI61910.2024.10761364

C06

Muhammad Mohsin, Xianlai Zeng, Stefano Rovetta, Francesco Masulli. "Measuring the Recyclability of Electronic Components to Assist Automatic and Sorting Waste Printed Circuit Boards." ICWMT19, Hangzhou, China, 2024. DOI: 10.48550/arXiv.2406.16593

C05

Muhammad Mohsin, Francesco Masulli, Stefano Rovetta, Alberto Cabri. "Virtual Mines – Component-level recycling of printed circuit boards using deep learning." WIRN 2023, Vietri sul Mare, Italy. DOI: 10.48550/arXiv.2406.17162

C04

Alberto Cabri, Francesco Masulli, Stefano Rovetta, Muhammad Mohsin. "Recovering Critical Raw Materials from WEEE using Artificial Intelligence." MAS2022, Rome, Italy.

C03

Muhammad Mohsin, Arslan Shaukat, Usman Akram, Muhammad Kaab Zarrar. "Automatic Prostate Cancer Grading Using Deep Architectures." IEEE AICCSA 2021, Tangier, Morocco. DOI: 10.1109/AICCSA53542.2021.9686869

C02

Arslan Shaukat, Ammar Younis, Usman Akram, Muhammad Mohsin, Zartasha Mustansir. "Towards Automatic Recognition Sound Observed in Daily Activity." IEEE ICCI*CC 2019, Milan, Italy. DOI: 10.1109/ICCICC46617.2019.9146067

C01

Muhammad Kaab Zarrar, Farhan Hussain, Muhammad Mohsin, Rubab Sheikh. "Latest Trends in Automatic Glioma Tumor Segmentation and an Improved CNN-based Solution." IEEE MACS 2019, Karachi, Pakistan. DOI: 10.1109/MACS48846.2019.9024815

Patents

P01 V-PCB DEMO AND DATASET

Inventors: Francesco Masulli, Muhammad Mohsin, Stefano Rovetta, Alberto Cabri
Registration: D000026014 · Country: Italy
Filed: January 8, 2025 · Granted: May 30, 2025

Professional Experience

Jan 2025 – Present

Postdoctoral Researcher

DIBRIS, University of Genoa, Italy

Advancing AI techniques for circular economy and critical raw materials recovery from electronic waste.

Sep 2025 – Present

Cultore della Materia

DIBRIS, University of Genoa, Italy

Contributing to teaching activities, student mentoring, exam support, and academic supervision.

Oct 2024 – Present

Teaching Assistant

DIBRIS, University of Genoa, Italy

Tutor, lab demonstrator, and teaching support in Computer Science and Data Management courses.

Aug – Sep 2025

Consultant

Vega Research Laboratories (VRLabs)

Developed computer vision system for electronic component classification. Implemented clustering algorithms for waste PCB categorization.

Dec 2023 – May 2024

Visiting PhD Researcher

Tsinghua University, School of Environment, Beijing, China

Collaborated on e-waste recycling research. Developed multi-criteria algorithms for recyclability measurement.

Jan 2022 – May 2025

PhD Researcher

DIBRIS, University of Genoa & VRLabs

Developed V-PCB dataset and computer vision models for automated selective disassembly of waste PCBs.

Aug 2019 – Jul 2021

Research Assistant

NUST — National University of Sciences & Technology, Pakistan

Conducted medical imaging analysis research. Work selected for JEJU National University, South Korea.

Feb 2017 – Present

Machine Learning Expert (Freelance)

Fiverr & Upwork

Completed 200+ ML/DL projects with $10,000+ in total revenue.

Education

2022 – 2025

PhD in Computer Science

DIBRIS, University of Genoa, Italy

Thesis: Deep Learning-Powered Computer Vision System for Selective Disassembly of Waste Printed Circuit Boards

2017 – 2021

MS in Computer Engineering

NUST — National University of Sciences & Technology, Pakistan

Thesis: Automatic Prostate Cancer Grading Using Deep Architectures

2013 – 2017

BSc in Computer Engineering

University of Engineering and Technology (UET) Taxila, Pakistan

Core Competencies

Technical Skills

AI & Machine Learning

TensorFlowKerasPyTorchOpenCVDeep LearningTransfer LearningComputer VisionNLP

Programming Languages

PythonC/C++JavaRMATLABSQLShellHDL

Tools & Platforms

JupyterGoogle ColabVS CodeGitDockerPostgreSQLPyCharm

Hardware & Embedded

Raspberry PiJetson NanoArduinoESP32FPGAsXilinxFreeCAD

Pedagogy

Teaching

Teaching Assistant at DIBRIS, University of Genoa, Italy

2025 – 2026

Data Warehousing

MSc Computer Science · Code: 101798

Introduction to Computer Science and Programming

BSc Computer Engineering · Code: 114602

Advanced Data Management

MSc Computer Science

Fondamenti di Ingegneria del Software

BSc Computer Engineering

2024 – 2025

Data Warehousing

MSc Computer Science · Code: 101798

Introduction to Computer Science and Programming

BSc Computer Engineering · Code: 114602

Presentations & Talks

Valorization of WEEE: Integrating AI into Sustainable WEEE Management

4th Global Summit on AI (GSAI 2025)

June 10–11, 2025

AI Solutions for Sustainable Management of WEEE

University of Opole, Poland

Dec 15–19, 2025

Valorization of Waste Electrical and Electronic Equipment: Integrating AI into Sustainable WEEE Management.

IEEE 9th RTSI, Gammarth, Tunisia, 2025

2025

Heatmap Visualization for Deep Learning Analysis of Waste Printed Circuit Boards.

IEEE ECIS 2025, Yueyang, China

2025

Semi-Supervised Multi-Stage Transfer Learning for Electronic Component Detection.

IEEE 9th RTSI, Gammarth, Tunisia, 2025

2025

Adaptive Multi-Stage Transfer Learning Approach for Electronic Component Detection in Waste Printed Circuit Boards.

ICASET 2025, Kenitra, Morocco

2025

Real-Time Detection of Electronic Components in Waste Printed Circuit Boards: A Transformer-Based Approach.

ApplePies 2024, Polytechnic University of Turin

2024

Deep Learning-Powered Computer Vision System for Selective Disassembly of Waste Printed Circuit Boards.

IEEE RTSI 2024, Politecnico di Milano

2024

Measuring the Recyclability of Electronic Components to Assist Automatic and Sorting Waste Printed Circuit Boards.

ICWMT19, Hangzhou, China, 2024

2024

Virtual Mines – Component-level recycling of printed circuit boards using deep learning.

WIRN 2023, Vietri sul Mare, Italy

2023

Recovering Critical Raw Materials from WEEE using Artificial Intelligence.

MAS2022, Rome, Italy

Automatic Prostate Cancer Grading Using Deep Architectures.

IEEE AICCSA 2021, Tangier, Morocco

2021

Towards Automatic Recognition Sound Observed in Daily Activity.

IEEE ICCI*CC 2019, Milan, Italy

2019

Latest Trends in Automatic Glioma Tumor Segmentation and an Improved CNN-based Solution.

IEEE MACS 2019, Karachi, Pakistan

2019

Awards & Honors

2026
PostDoc Fellowship, DIBRIS, University of Genova
2025
Research Fellowship, DIBRIS, University of Genoa
2022
PON-PhD Scholarship in Computer Science
2019
Research Grant, NUST Islamabad
2019
Selected for JEJU National University ML Camp, South Korea
2017
PEEF Scholarship for MS at NUST
2014
HEC Scholarship, UET Taxila, Pakistan

IEEE RTSI 2026

Call for Papers

Special Session

Important Dates

Submission 05 Jun 2026

Notification 15 Jun 2026

Conference 16–18 Aug 2026

Venue Espoo, Finland

Links

Conference Tracks Submit Paper

📢 Open Call · Submission Deadline: 05 June 2026

"AI-Powered Innovations for Circular Economy: Advancing Sustainable Recycling"

IEEE 10th International Forum on Research and Technologies for Society and Industry (RTSI 2026)
📍 Aalto University, Espoo, Finland · 🗓️ 16–18 August 2026

Artificial Intelligence is playing an increasingly important role in building smarter and more sustainable recycling systems. This special session will explore how AI, robotics, and data-driven technologies can support efficient waste management, material recovery, and circular economy solutions. We welcome contributions from academia and industry.

Topics of Interest

AI-based waste sorting & recycling Robotics for automated disassembly Computer vision for recycling systems Edge AI for real-time processing Predictive analytics & recyclability assessment Circular supply chains & industrial applications

Session Organizers

Muhammad Mohsin, PhD Postdoctoral Researcher · Università degli Studi di Genova

Alberto Cabri Vega Research Laboratories s.r.l.

Community

Professional Service

Editorial Boards

Editorial Board, AI & Sustainable Finance Journal (AISFJ)
Peer Reviewer, PLOS One, 2025–Present

Program Committees

PC Member, USIC 2026, Hong Kong
PC Member, USIC 2025, Hong Kong
PC Member, ACCSE 2025, Valencia
PC Member, ACCSE 2024, Venice
PC Member, ACCSE 2023, Nice
Student Committee, ICOA 2022

Peer Review

Reviewer, ICIVIS 2025, Hangzhou
Reviewer, NeurIPS 2024 AFME Workshop
Reviewer, ICOA 2023, Abu Dhabi

Memberships

IEEE & IEEE Computer Society
Pakistan Engineering Council #14851
DoCS-DIBRIS Organizing Team