Subhadip Pramanik | Data-Driven Evolutionary Optimization | Best Researcher Award

Dr Subhadip Pramanik | Data-Driven Evolutionary Optimization | Best Researcher Award

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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

  1. Broader Collaborative Research:
    • While his contributions are notable, expanding collaborations with international researchers could elevate the global visibility of his work.
  2. Industry Engagement:
    • Engagement in industry-funded projects or partnerships could demonstrate real-world applications of his research.
  3. 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 📚

  1. AdaMoR-DDMOEA: Adaptive Model Selection Framework for Offline Optimization (Mathematics, 2025)
  2. ALeRSa-DDEA: Active Learning and Reliability Sampling for Expensive Optimization (SMO, 2022)
  3. GL-DDEA: Surrogate-Based Framework for Offline Optimization (IEEE INDICON, 2021)
  4. 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.

Dalhatu Muhammed – Computer Science – Best Researcher Award

Dalhatu Muhammed - Computer Science - Best Researcher Award

Institut Supérieur D’electronique De Paris - France

AUTHOR PROFILE

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EARLY ACADEMIC PURSUITS

Dalhatu Muhammed embarked on his educational journey at Adamu Suleman Ninzamiyya Primary School Aliero from 1993 to 1999, where he obtained his Primary Certificate. He then attended Haliru Abdu Arabic Secondary School Jega (1999-2002), earning his Junior Leaving Certificate. Muhammed continued his secondary education at Government Technical College Bunza (2002-2005) and obtained his Secondary School Certificate (NABTEB) in 2005. Following this, he attended Usmanu Danfodiyo University, School of Matriculation in Sokoto in 2006 before enrolling in Usmanu Danfodiyo University Sokoto, Nigeria, where he earned a BSc in Computer Science (Second Class Upper Division) in 2011.

Muhammed's pursuit of higher education took him to the University of Malaya, Malaysia, where he specialized in Sensor Networks and completed an MSc in Computer Science in 2017. Currently, he is undertaking a PhD in Computer Science with a specialization in AIoT for Smart Agriculture at Sorbonne University Paris, France (2022 to date).

PROFESSIONAL ENDEAVORS

Muhammed's professional career is marked by significant contributions to the field of Computer Science, particularly in academia and technical instruction. His career began with the National Youth Service Corps (NYSC) in 2011-2012, followed by a teaching position at Raudatus Sunnah Academy Jega (2010-2011). He then joined Kebbi State University of Science and Technology Aliero (KSUSTA) as a System Analyst/Higher Technical Officer (2012-2014) and subsequently progressed through various academic positions: Graduate Assistant (2014-2017), Assistant Lecturer (2017-2019), Lecturer II (2019-2022), and currently, Lecturer I (2022-date). Additionally, he has served as a part-time lecturer at the School of Remedial Studies, KSUSTA (2017-2018) and as a CCNA Instructor at KSUSTA Networking Academy (2015-date).

CONTRIBUTIONS AND RESEARCH FOCUS

Throughout his career, Muhammed has been actively involved in numerous committees and responsibilities, including roles such as Departmental Examination Officer, Secretary of the Departmental Course Allocation Committee, and Chairman of the Departmental Committee on Accreditation Staff Grouping. His research focus is centered on the integration of Artificial Intelligence and Internet of Things (AIoT) in Smart Agriculture, which is also the theme of his ongoing PhD.

He has taught a wide array of courses, such as Fundamentals of Computer (CSC 101), Introduction to the Internet (INT 201), Web Technology and Scripting Language (INT 401), and Advanced Java Programming (CSC 408). His dedication to teaching is evident from his extensive involvement in student project supervision, guiding students in projects related to online systems for recruitment, hospital record management, and student attendance management.

IMPACT AND INFLUENCE

Muhammed's impact is also reflected in the numerous workshops and training programs he has attended, including international workshops on pervasive sensing and multimedia understanding, and professional development workshops on HMM-Based Speech Synthesis Systems. His contributions to academic conferences, such as the International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), further highlight his active engagement with the global research community.

ACADEMIC CITATIONS

Muhammed's scholarly work is widely recognized, with citations in various academic publications. His research and teaching in Computer Science have significantly contributed to the academic discourse in his field, particularly in sensor networks and AIoT applications.

LEGACY AND FUTURE CONTRIBUTIONS

Dalhatu Muhammed's legacy in Computer Science is marked by his commitment to education, research, and professional development. His future contributions are expected to further advance the fields of AIoT and smart agriculture, providing innovative solutions to contemporary challenges. His ongoing PhD research at Sorbonne University will likely yield significant advancements in these areas, solidifying his impact and influence in the global academic and professional community.

In summary, Dalhatu Muhammed's journey in Computer Science, marked by academic excellence, professional dedication, and impactful research, continues to inspire and influence the next generation of computer scientists. His ongoing efforts and future contributions promise to leave a lasting legacy in the field.

NOTABLE PUBLICATION

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions 2024

Performance Evaluation of Machine Learning Algorithms for a Cluster-based Crop Recommendation System 2023

A User-friendly AIoT-Based Crop Recommendation system (UACR): concept and architecture 2022 (6)

A Cross-Lingual Text-To-Speech System for Hausa using DNN-Based Approach 2020

An Enhanced Scalable Design Approach for Managing Large Scale Variability in Software Product Lines (SPLs) 2020