Submission Deadline:
June 15th, 2025
Notification of Acceptance:
June 30th, 2025
Conference Dates:
July 24-26, 2025
Prof. Dr. Rumen Mironov
lab. 1228, fl. 2, bldg. 1
Technical University of Sofia
8 Kliment Ohridski Blvd.
1756 Sofia
Bulgaria
E-mail: namsp2025@gmail.com
Tel: +359 2 965 3283
Contact for China
Editor Chaoming Yang
IRNet China, Wuhan
QQ:2317185350
Tel: 15527861909 (Editor Tang)
6th International Workshop on New Approaches for
Multidimensional Signal Processing
NAMSP 2025
Technical University of Sofia, Sofia, Bulgaria
July 24-26, 2025
Plenary Speakers
Prof. Dr. Parvinder Singh, Full Professor, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana, India
Title of Lecture:
A Cognitive Content Recommendation Engine Empowered by Ontology-Based Semantics
Abstract: This research presents "A Cognitive Content Recommendation Engine Empowered by Ontology-Based Semantics", a novel framework designed to deliver smarter and more personalized recommendations by combining traditional content-based filtering with ontology-driven semantic reasoning. Unlike conventional systems that rely solely on keyword matching or user-item interactions, this engine integrates domain-specific knowledge graphs, natural language processing, and rule-based inference to understand deeper contextual meaning within content. By incorporating tools like CRFEntityExtractor and DIETClassifier, the system enhances entity recognition and intent understanding, allowing it to interpret unstructured text with higher accuracy.
One of the key strengths of this approach is its ability to address challenges such as cold start, lack of diversity, and semantic sparsity—common issues in content-based recommenders.
A key application of this system lies in the mental health domain, where personalized and context-aware support is vital. The proposed engine can recommend self-help resources, therapy content, or support group forums based on a user’s emotional state, behavioural cues, and language patterns—captured through their digital interactions. By understanding not just what users say but how they express their thoughts, the system delivers emotionally intelligent, non-intrusive recommendations aligned with individual mental well-being.
Evaluations on real-world social media datasets show notable improvements in relevance, diversity, and personalization compared to traditional models. By embedding semantic inference and user-centric design, this framework offers a scalable solution for sensitive domains like mental health, where trust, empathy, and context are critical to impact.
Biographical Notes:
Present position: Full Professor, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana, India
Administrative experience: Dean Faculty of IT & CS, Chairperson CSED, Proctor, Director PG Admission, Chief Security Officer, and Head Computer Centre at DCRUST Murthal
Teaching experience: Total experience - 28 years, Presently working at Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana (India) (DCRUST), Completed 2 terms as Chairman, Department of Computer Science & Engineering, DCR University of Science & Technology, Murthal, Honorary Visiting Professor, University of Deusto, Spain, Worked on India Bulgraia Joint Project with Technical University of Sofia, Working in Collaboration with University of Deusto, Spain, Received two Patents (One International and One Indian) in the field of Security and Image Processing, Awarded two grants from DST and one from UGC for major projects, Organized International and National Workshops/Conferences in various cities of the world and delivered Keynote Addresses, Biography published in 27th edition of Marquis Who's is Who in World 2010 and all the subsequent editions, Inclusion in the Top 100 Engineers - 2012 by Cambridge, England, Published more than 100 Papers in International Journal and Conference Proceedings.