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Computer Science
Romania
2026

D-Index & Metrics

Computer Science

D-Index
49
Citations
9571
World Ranking
5896
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Romania Leader Award

Overview

Sergiu Nedevschi is affiliated with the Technical University of Cluj-Napoca in Romania. Their research spans across the fields of Computer Science and Engineering, with a primary focus on subfields including Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering, Environmental Engineering, and Artificial Intelligence.

The scientist's work addresses several main topics, notably:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Remote Sensing and LiDAR Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Video Surveillance and Tracking Methods
  • AI in cancer detection
  • Advanced Neural Network Applications

The publication record includes contributions to well-known venues such as Sensors, where seven papers were published, IEEE Transactions on Intelligent Vehicles with four papers, and IEEE Transactions on Intelligent Transportation Systems with three papers. Other frequent venues include arXiv (Cornell University) and IEEE Transactions on Geoscience and Remote Sensing.

Some recent papers indicative of their research interests and output include:

  • "Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images" (2020, Sensors)
  • "Stabilization and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation" (2020, Sensors)
  • "Monocular Depth Estimation With Improved Long-Range Accuracy for UAV Environment Perception" (2021, IEEE Transactions on Geoscience and Remote Sensing)
  • "Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "Pedestrian Street-Cross Action Recognition in Monocular Far Infrared Sequences" (2021, IEEE Access)

Collaboration plays a role in their research, with frequent co-authors including Radu Badea, Andra Petrovai, Delia Mitrea, Raluca Brehar, and Tiberiu Mariţa. Co-authorship counts with these collaborators range between five to seven papers each, indicating sustained joint research efforts.

Best Publications

  • Reducing network energy consumption via sleeping and rate-adaptation

    Sergiu Nedevschi;Lucian Popa;Gianluca Iannaccone;Sylvia Ratnasamy

  • The case for technology in developing regions

    E. Brewer;M. Demmer;B. Du;M. Ho

  • WiLdnet: design and implementation of high performancewifi based long distance networks

    Rabin Patra;Sergiu Nedevschi;Sonesh Surana;Anmol Sheth

  • Processing Dense Stereo Data Using Elevation Maps: Road Surface, Traffic Isle, and Obstacle Detection

    F. Oniga;S. Nedevschi

  • 3D lane detection system based on stereovision

    S. Nedevschi;R. Schmidt;T. Graf;R. Danescu

  • Modeling and Tracking the Driving Environment With a Particle-Based Occupancy Grid

    Radu Danescu;Florin Oniga;Sergiu Nedevschi

  • High accuracy stereo vision system for far distance obstacle detection

    S. Nedevschi;R. Danescu;D. Frentiu;T. Marita

  • Skilled in the art of being idle: reducing energy waste in networked systems

    Sergiu Nedevschi;Jaideep Chandrashekar;Junda Liu;Bruce Nordman

  • Beyond pilots: keeping rural wireless networks alive

    Sonesh Surana;Rabin Patra;Sergiu Nedevschi;Manuel Ramos

  • Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision

    R. Danescu;S. Nedevschi

  • Packet Loss Characterization in WiFi-Based Long Distance Networks

    A. Sheth;S. Nedevschi;R. Patra;S. Surana

  • Stereo-Based Pedestrian Detection for Collision-Avoidance Applications

    S. Nedevschi;S. Bota;C. Tomiuc

  • Total variation regularization of local-global optical flow

    Marius Drulea;Sergiu Nedevschi

  • Deploying a Rural Wireless Telemedicine System: Experiences in Sustainability

    S. Surana;R. Patra;S. Nedevschi;E. Brewer

  • Rethinking wireless for the developing world

    Lakshminarayanan Subramanian;Sonesh Surana;Anmol Sheth;Sergiu Nedevschi

  • Road Surface and Obstacle Detection Based on Elevation Maps from Dense Stereo

    F. Oniga;S. Nedevschi;M.M. Meinecke;Thanh Binh To

  • Can software routers scale

    Katerina Argyraki;Salman Baset;Byung-Gon Chun;Kevin Fall

  • A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision

    S. Nedevschi;R. Danescu;T. Marita;F. Oniga

  • Accurate Ego-Vehicle Global Localization at Intersections Through Alignment of Visual Data With Digital Map

    S. Nedevschi;V. Popescu;R. Danescu;T. Marita

  • High Accuracy Stereovision Approach for Obstacle Detection on Non-Planar Roads

    Sergiu Nedevschi;Radu Danescu;Dan Frentiu;Tiberiu Marita

  • The case for technology for developing regions

    Eric A. Brewer

Frequent Co-Authors

Eric Brewer
Eric Brewer University of California, Berkeley
Lakshminarayanan Subramanian
Lakshminarayanan Subramanian New York University
Sylvia Ratnasamy
Sylvia Ratnasamy University of California, Berkeley
Xavier Bresson
Xavier Bresson National University of Singapore
Dieter Fensel
Dieter Fensel University of Innsbruck
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
David Wetherall
David Wetherall Google (United States)
Fawzi Nashashibi
Fawzi Nashashibi French Institute for Research in Computer Science and Automation - INRIA
Cristian Secchi
Cristian Secchi University of Modena and Reggio Emilia
Cesare Fantuzzi
Cesare Fantuzzi University of Modena and Reggio Emilia

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