Assistant Professor, Kalinga Institute of Industrial Technology (KIIT) Deemed to Be University, India
Dr. Subhadip Pramanik is an accomplished academic and researcher specializing in Data Science and Artificial Intelligence. He earned his Ph.D. in Data Science & AI from IIT Kharagpur in 2023. With a strong educational foundation in applied mathematics and computer science, Dr. Pramanik has made significant contributions to the field of evolutionary optimization and machine learning. Currently, he serves as an Assistant Professor at the Kalinga Institute of Industrial Technology, Bhubaneswar, India, where he teaches advanced topics in computer science. His prolific research has been published in leading journals, and he has received accolades such as the Best Paper Award at IEEE INDICON 2021.
PROFILE
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STRENGTHS FOR THE AWARD
- Academic Excellence:
- Holds a Ph.D. in Data Science and AI from IIT Kharagpur, one of the most prestigious institutions in India.
- Demonstrated exceptional academic performance throughout, including high scores in M.Tech and M.Sc.
- Significant Research Contributions:
- Published extensively in reputed journals and conferences, including Mathematics, Structural and Multidisciplinary Optimization, and Applied Intelligence.
- Innovations such as adaptive model selection frameworks and nature-inspired algorithms showcase expertise in solving real-world optimization problems.
- The award-winning research on “GL-DDEA” highlights the practical impact and originality of contributions in AI and Data Science.
- Recognitions:
- Best Paper Award in the AI & Data Science Track at IEEE INDICON 2021, a testament to the quality and impact of his work.
- Strong citation and publication record reflecting a high level of research engagement.
- Diverse Work Experience:
- Currently serving as an Assistant Professor at KIIT, mentoring undergraduate students in advanced topics such as Data Analytics, AI, and DBMS.
- Prior experience as a Research Fellow at IIT Kharagpur involved developing groundbreaking methods for engineering optimization.
- Technical Expertise:
- Specialized in cutting-edge domains such as evolutionary algorithms, surrogate modeling, and high-utility itemset mining.
- Proficiency in applying research methodologies to solve expensive, data-driven optimization problems, bridging theory and application.
AREAS FOR IMPROVEMENT
- Broader Collaborative Research:
- While his contributions are notable, expanding collaborations with international researchers could elevate the global visibility of his work.
- Industry Engagement:
- Engagement in industry-funded projects or partnerships could demonstrate real-world applications of his research.
- Interdisciplinary Applications:
- Exploring applications of his frameworks in areas beyond engineering optimization, such as healthcare or environmental science, may further diversify his portfolio.
EDUCATION
Dr. Pramanik has an extensive academic background:
- Ph.D. in Data Science & AI, IIT Kharagpur (2018–2023)
- M.Tech. in Computer Science & Data Processing, IIT Kharagpur (2016–2018, CGPA 8.61/10)
- M.Sc. in Applied Mathematics, Vidyasagar University (2014–2016, 77%)
- B.Sc. in Mathematics, Vidyasagar University (2011–2014, 65.75%)
- Higher Secondary (82.8%) and Secondary (83.5%) Examinations completed in West Bengal.
This foundation underscores his expertise in applying mathematical rigor to solve complex engineering problems using AI and data science.
EXPERIENCE
Dr. Pramanik is currently an Assistant Professor at Kalinga Institute of Industrial Technology, where he teaches Data Analytics, AI, and Python to undergraduates. His research fellowship at IIT Kharagpur (2018–2023) resulted in pioneering contributions like developing evolutionary algorithms for solving expensive engineering optimization problems. His notable projects include a novel framework utilizing ant colony systems for mining high-utility itemsets and innovative surrogate modeling approaches for multi-objective optimization. With practical teaching and research experience, Dr. Pramanik bridges academic rigor with real-world applications.
AWARDS & HONORS 🏆
- Best Paper Award in AI & Data Science Track, IEEE INDICON 2021
- GATE 2016 Qualified: Scored 532 in Mathematics
- Numerous accolades for his impactful publications and contributions to Data Science & AI research.
RESEARCH FOCUS 🔬
Dr. Pramanik focuses on evolutionary optimization, active learning, and data-driven decision-making. His research interests include:
- Data-Driven Multi-Objective Optimization: Using adaptive and reliable frameworks for engineering challenges.
- High-Utility Pattern Mining: Ant colony systems for large transactional datasets.
- Surrogate Modeling: Combining global and local models for efficiency in offline and incremental data optimization.
PUBLICATION TOP NOTES 📚
- AdaMoR-DDMOEA: Adaptive Model Selection Framework for Offline Optimization (Mathematics, 2025)
- ALeRSa-DDEA: Active Learning and Reliability Sampling for Expensive Optimization (SMO, 2022)
- GL-DDEA: Surrogate-Based Framework for Offline Optimization (IEEE INDICON, 2021)
- Ant Colony Algorithm: Mining Closed High-Utility Itemsets (Applied Intelligence, 2021)
CONCLUSION
Subhadip Pramanik is an outstanding candidate for the Best Researcher Award due to his exemplary academic record, innovative research contributions, and impactful publications. His award-winning work and continued commitment to advancing Data Science and AI demonstrate his potential to excel further in his field. With additional focus on interdisciplinary and global collaborations, he could strengthen his position as a leading researcher in his domain.