DEPARTMENTS
Abdul Nazeer K. A.
Abdul Nazeer K. A.

Professor

Office Address:

Room No. 203 C, CSE Block, Dept. of Computer Science and Engineering, N I T Calicut, N I T Campus (P O), Kozhikode-673601, Kerala, India.

Contact no:

+91-495-2286818

Home Address:

CP 5/500, 'SAFANA', Thazhe Kattangal, N I T Campus (P O), Kozhikode-673601

  • Ph. D in Computer Science and Engineering from NIT Calicut (Thesis Title: Improved Clustering Algorithms for Bioinformatics Data Analysis)

  • M.Tech (Computer Science and Engineering) from IIT Madras

  • B.Tech (Computer Science and Engineering) from TKM College of Engineering, Kollam, University of Kerala

  • Educational Qualifications

    • Ph. D in Computer Science and Engineering from NIT Calicut (Thesis Title: Improved Clustering Algorithms for Bioinformatics Data Analysis)

    • M.Tech (Computer Science and Engineering) from IIT Madras

    • B.Tech (Computer Science and Engineering) from TKM College of Engineering, Kollam, University of Kerala

    Journals

    2023

    • Lekshmy P. Chandran, Abdul Nazeer K.A., Niyas Puzhakkal, Dinesh Makuny,MemU-Net: A new volumetric dose prediction model using deep learning techniques in radiation treatment planning, Biomedical Signal Processing and Control, Volume 85, 2023, 104940, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2023.104940 (https://www.sciencedirect.com/science/article/pii/S1746809423003737)

    • Chandran LP, Kochannan Parampil Abdul Rahiman AN, Puzhakkal N, Makuni D. A 3D U‐Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning. International Journal of Imaging Systems and Technology. https://doi.org/10.1002/ima.22939

    • E K Jasila, N Saleena, K A Abdul Nazeer, An Efficient Document Clustering Approach for Devising Semantic Clusters, Cybernetics and Systems, 1-18.

    2022

    2020​​​​​​​

    2019

    2018

    2017

    2016

    2015

    2013

    2011

    2010

    2008

     

    Conferences

    2023

    • Aparna V, Hridika K. V., Pooja S. Nair, Lekshmy P. Chandran, Abdul Nazeer K. A., "Automating dose prediction in Radiation treatment planning using Self attention base generative adversarial network", Presented In 4th Congress on Intelligent Systems (CIS 2023).

    2022

    • A Vishnusankar, A Unniyattil, EM Haneem, V Abinas, KAA Nazeer, 'Deep neural network aided multi-omics drug response prediction for breast cancer', 2022 IEEE 19th India Council International Conference (INDICON)

    • A Joshy, GC Kasyap, PD Reddy, IT Anjusha, KAA Nazeer, 'Drug Target Interaction Prediction using Graph Convolution based Neural Fingerprinting', 2022 IEEE 19th India Council International Conference (INDICON)

    • IT Anjusha, N Saleena, K Abdul Nazeer, 'Using Protein Interactome Similarity to Improve Random Walk with Restart Model for Drug Repurposing', Proceedings of the Seventh International Conference on Mathematics and Computing

    • Jha, S, Sajeev N, Marchetti AR, Chandran LP, A ANK.  2022.  Performance Evaluation of Deep Learning Architectures for Predicting 3D Dose Distributions in Automatic Radiotherapy Treatment Planning, 2022. 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (IEEE). , Noida, India

    • Jha, Sakshi, Neelima Sajeev, Aarthi Rajesh Marchetti, Lekshmy P. Chandran, and KA Abdul Nazeer. "Performance Evaluation of Deep Learning Architectures for Predicting 3D Dose Distributions in Automatic Radiotherapy Treatment Planning." In 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), pp. 160-166. IEEE, 2022.

    2021

    2020

    • Mahija, KC, Kadol S, AbdulNazeer KA.  2020.  Computational Investigation of Arjunarishta Formulation using Module-Network Analysis. 2020 Advanced Computing and Communication Technologies for High Performance Applications. , Kerala, India

    • Kumar, A., Lekshmy, P.C., Puzhakkal, N. and Abdul Nazeer, K.A., 2021. Deep Learning Technique for Predicting Optimal ‘Organ at Risk’Dose Distribution for Brain Tumor Patients. In Congress on Intelligent Systems: Proceedings of CIS 2020, Volume 2 (pp. 575-583). Springer Singapore.

    2019

    2018

    2017

    2016

    2015

    2014

    2013

    2012

    2011

    2009

    2008

    2005

     

    Professional Experience

    • Chairman, Centre for Public Relations, Information and Media Exchange (C-PRIME / Media Cell) [From November 2021 to December 2023]

    • Chairman, UG Admissions, NIT Calicut (March 2017 to May 2020)

    • Head of the Department of Computer Science and Engineering, National Institute of Technology Calicut (21st July 2014 - 10th August 2016)

    • Associate Dean (Academic), NIT Calicut - March 2013 to July 2014

    • Lecturer / Assistant Professor / Associate Professor, Dept. of Computer Science and Engineering, REC Calicut / NIT Calicut (August 1998 onwards till date)

    • Lecturer in Computer Science and Engineering, TKM College of Engineering, Kollam, University of Kerala (November 1993 - August 1998)

    • Lecturer in Computer Science and Engineering, Anjuman Engineering College, Bhatkal, Karnataka University (August 1992 - October 1993)

    • Lecturer cum Programmer, Lal Bahadur Shastri Centre for Science and Technology, Regional Unit, Calicut (November 1991 - August 1992)

    • Bioinformatics

    • Data Mining

    • Database Management Systems

    • Artificial Intelligence

    Programme Coordinator, M.Tech. in CSE (Artificial Intelligence and Data Analytics) 

    Laboratories Established

    1. Machine Learning Laboratory

    2. Big Data and Biocomputing Laboratory (http://bdbl.nitc.ac.in/)

    Courses Introduced

    Bioinformatics (PG / Ph.D Level)

    Natural Language Processing (Both UG and PG Level)

    Courses Handled

    UG

    • Foundations of Computing

    • Computer Organization

    • Logic Design

    • Discrete Computational Structures

    • Operating Systems

    • Database Management Systems

    • Data Structures and Algorithms

    • Computational Intelligence

    • Natural Language Processing

    PG

    • Natural Language Processing

    • Database Design

    • Bioinformatics