Rahul Sharma

Dr. Rahul Sharma is an academic leader, researcher, and institutional strategist with over 18 years of experience in higher education across Europe and India. Currently a Senior Researcher at the Karlsruhe Institute of Technology (KIT), Germany, he contributes to large-scale European initiatives in artificial intelligence, intelligent data systems, and digital innovation.

He has held key academic leadership roles in India, including Professor, Head of Department, and Dean of Innovation and International Affairs, where he led major institutional transformation initiatives. His leadership resulted in the establishment of interdisciplinary research ecosystems and innovation platforms, including the IDEA Lab, enabling over 450 patent filings and strengthening industry collaboration, startup incubation, and technology commercialization.

Dr. Sharma brings a unique blend of academic and industry experience, with expertise in digital transformation, data-driven governance, and AI-enabled systems. He has contributed to research projects exceeding €15 million in funding and maintains strong international collaborations across Europe and Asia.

His work is driven by a vision to build globally competitive, research-intensive, and future-ready universities, with a focus on innovation, governance, and societal impact.

Dr. Sharma’s leadership philosophy emphasizes the integration of research excellence, digital transformation, global engagement, and sustainable institutional growth. He is particularly committed to aligning university education with the United Nations Sustainable Development Goals (SDGs), promoting responsible innovation, ethical AI, and technology-driven solutions to global challenges.

Through his work, Dr. Sharma continues to contribute to the development of globally competitive, innovation-driven academic institutions that combine academic rigor, technological advancement, and societal impact.

news

Jan 15, 2016	A simple inline announcement with Markdown emoji!
Nov 07, 2015	A long announcement with details
Oct 22, 2015	A simple inline announcement.

selected publications

ESWA

Utilizing Continuous Time Markov Chain for Analyzing Video-on-Demand Streaming in Multimedia Systems

Debjani Ghosh, Mayank Pandey, Chakrapani Gautam, and 3 more authors

Expert Systems with Applications, 2023

DOI Bib HTML

@article{ghosh2023eswa,
  author = {Ghosh, Debjani and Pandey, Mayank and Gautam, Chakrapani and Vidyarthi, Ankit and Sharma, Rahul and Draheim, Dirk},
  title = {Utilizing Continuous Time Markov Chain for Analyzing Video-on-Demand Streaming in Multimedia Systems},
  journal = {Expert Systems with Applications},
  year = {2023},
  volume = {223},
  doi = {10.1016/j.eswa.2023.119857},
  url = {https://doi.org/10.1016/j.eswa.2023.119857},
}

IEEE-Access

A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, and 5 more authors

IEEE Access, 2022

DOI Bib

@article{sharma2022ieeeaccess,
  author = {Sharma, Rahul and Kaushik, Minakshi and Peious, Sijo Arakkal and Bazin, Alexandre and Shah, Syed Attique and Fister, Iztok and Ben Yahia, Sadok and Draheim, Dirk},
  title = {A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning},
  journal = {IEEE Access},
  year = {2022},
  volume = {10},
  pages = {12792--12813},
  doi = {10.1109/ACCESS.2022.3142537},
  url = {https://doi.org/10.1109/ACCESS.2022.3142537},
}

DEXA

Detecting Simpson’s Paradox: A Machine Learning Perspective

Rahul Sharma, Huseyn Garayev, Minakshi Kaushik, and 3 more authors

In DEXA 2022, 2022

DOI Bib

@inproceedings{sharma2022dexa,
  author = {Sharma, Rahul and Garayev, Huseyn and Kaushik, Minakshi and Peious, Sijo Arakkal and Tiwari, Prayag and Draheim, Dirk},
  title = {Detecting Simpson's Paradox: A Machine Learning Perspective},
  booktitle = {DEXA 2022},
  year = {2022},
  pages = {323--335},
  doi = {10.1007/978-3-031-12423-5_25},
  url = {https://doi.org/10.1007/978-3-031-12423-5_25},
}

IEEE-Access

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining

Minakshi Kaushik, Rahul Sharma, Pilleriin Koiva, and 2 more authors

IEEE Access, 2024

DOI Bib

@article{kaushik2024ieeeaccess,
  author = {Kaushik, Minakshi and Sharma, Rahul and Koiva, Pilleriin and Fister, Iztok and Draheim, Dirk},
  title = {An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining},
  journal = {IEEE Access},
  year = {2024},
  volume = {12},
  pages = {138985--139002},
  doi = {10.1109/ACCESS.2024.3417334},
  url = {https://doi.org/10.1109/ACCESS.2024.3417334},
}

DaWaK

Expected vs. Unexpected: Selecting Right Measures of Interestingness

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, and 2 more authors

In DaWaK 2020, 2020

DOI Bib

@inproceedings{sharma2020dawak,
  author = {Sharma, Rahul and Kaushik, Minakshi and Peious, Sijo Arakkal and Ben Yahia, Sadok and Draheim, Dirk},
  title = {Expected vs. Unexpected: Selecting Right Measures of Interestingness},
  booktitle = {DaWaK 2020},
  year = {2020},
  pages = {38--47},
  doi = {10.1007/978-3-030-59065-9_4},
  url = {https://doi.org/10.1007/978-3-030-59065-9_4},
}

iiWAS

On Observing Patterns of Correlations During Drill-Down

Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, and 2 more authors

In iiWAS 2023, 2023

DOI Bib

@inproceedings{peious2023iiwas,
  author = {Peious, Sijo Arakkal and Sharma, Rahul and Kaushik, Minakshi and Shahin, Mahtab and Draheim, Dirk},
  title = {On Observing Patterns of Correlations During Drill-Down},
  booktitle = {iiWAS 2023},
  year = {2023},
  doi = {10.1007/978-3-031-48316-5_16},
  url = {https://doi.org/10.1007/978-3-031-48316-5_16},
}

IEEE-Access

Mobile Smart Contracts: Exploring Scalability Challenges and Consensus Mechanisms

Vipin Deval, Vimal Dwivedi, Abhishek Dixit, and 4 more authors

IEEE Access, 2024

DOI Bib

@article{deval2024ieeeaccess,
  author = {Deval, Vipin and Dwivedi, Vimal and Dixit, Abhishek and Norta, Alex and Shah, Syed Attique and Sharma, Rahul and Draheim, Dirk},
  title = {Mobile Smart Contracts: Exploring Scalability Challenges and Consensus Mechanisms},
  journal = {IEEE Access},
  year = {2024},
  volume = {12},
  pages = {34265--34288},
  doi = {10.1109/ACCESS.2024.3371901},
  url = {https://doi.org/10.1109/ACCESS.2024.3371901},
}

IEEE-Access

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors

Ankit Vidyarthi, Ruchi Agarwal, Deepak Gupta, and 3 more authors

IEEE Access, 2022

DOI Bib

@article{vidyarthi2022brain,
  author = {Vidyarthi, Ankit and Agarwal, Ruchi and Gupta, Deepak and Sharma, Rahul and Draheim, Dirk and Tiwari, Prayag},
  title = {Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors},
  journal = {IEEE Access},
  year = {2022},
  volume = {10},
  pages = {50624--50640},
  doi = {10.1109/ACCESS.2022.3172303},
  url = {https://doi.org/10.1109/ACCESS.2022.3172303},
}

iiWAS

An Analysis of Human Perception of Partitions of Numerical Factor Domains

Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, and 1 more author

In iiWAS 2022, 2022

DOI Bib

@inproceedings{kaushik2022iiwas,
  author = {Kaushik, Minakshi and Sharma, Rahul and Peious, Sijo Arakkal and Draheim, Dirk},
  title = {An Analysis of Human Perception of Partitions of Numerical Factor Domains},
  booktitle = {iiWAS 2022},
  year = {2022},
  pages = {137--144},
  doi = {10.1007/978-3-031-21047-1_13},
  url = {https://doi.org/10.1007/978-3-031-21047-1_13},
}

DaWaK

Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values

Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, and 2 more authors

In DaWaK 2020, 2020

DOI Bib

@inproceedings{peious2020dawak_grand,
  author = {Peious, Sijo Arakkal and Sharma, Rahul and Kaushik, Minakshi and Shah, Syed Attique and Ben Yahia, Sadok},
  title = {Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values},
  booktitle = {DaWaK 2020},
  year = {2020},
  pages = {28--37},
  doi = {10.1007/978-3-030-59065-9_3},
  url = {https://doi.org/10.1007/978-3-030-59065-9_3},
}