Hasan Ahamed Alif | Academic Profile
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GRE 329/340
IELTS 7.0

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Hasan Ahamed Alif

Aspiring PhD Researcher | AI & ML for Climate Science

B.E. Computer Science and Engineering
Dhaanish Ahmed College of Engineering — Anna University

About

I am an aspiring PhD researcher with a strong passion for applying Artificial Intelligence and Machine Learning to address critical challenges in Earth System Science and Climate Research. My work spans climate forecasting, flood risk modeling, drought early warning systems, and renewable energy prediction using advanced deep learning and ensemble methods.

Currently completing my B.E. in Computer Science and Engineering at Dhaanish Ahmed College of Engineering (Anna University), I have published 6 journal articles in Q1/Q2 Springer Nature journals, with 4 additional manuscripts under review. I have also presented 13 papers at IEEE conferences covering climate anomaly detection, spatiotemporal modeling, and AI for healthcare.

I am actively seeking PhD opportunities where I can contribute to cutting-edge research in AI-driven climate science, geospatial intelligence, and sustainable infrastructure planning under expert mentorship.

Research Interests

My research lies at the intersection of machine learning, climate science, and geospatial analysis. Key areas include:

AI & ML for Climate Science Deep Learning & Ensemble Methods GIS & Remote Sensing Disaster Risk Modeling Renewable Energy Forecasting

Education

Aug 2022 – Jun 2026 (Expected)

Bachelor of Engineering, Computer Science and Engineering

Dhaanish Ahmed College of Engineering — Anna University

CGPA: 8.20/10
Key Courses: Machine Learning, Artificial Intelligence, Data Structures, Statistics, IoT Systems

Completed May 2026

Undergraduate Thesis

Smart Solar Energy Management System Using IoT and Advanced Group-Based Hybrid Models

Grade: 93%

Publications

Journal Articles (Springer Nature)

J1 Artificial Intelligence-Driven Rainfall Forecasting and GIS-Based Flood Risk Mapping for Climate-Resilient Infrastructure in Bangladesh
H. A. Alif, M. J. Mashrafi, M. Elhag, et al.
Earth Systems and Environment (2025)
Q1 • IF: 5.24 Springer Nature
J2 Temperature-Based Solar Energy Forecasting: A Big Data Analysis for Sustainable Energy Planning in Bangladesh
H. A. Alif
Theoretical and Applied Climatology 156, 526 (2025)
Q2 Springer Nature Solo Author
J3 Development of Robust Statistical and Machine Learning Ensemble Models for Long-Term Temperature Forecasting in Central Ethiopia
H. A. Alif, U. Haldar
Bulletin of Atmospheric Science & Technology 7, 7 (2026)
Springer Nature
J4 Machine Learning-Driven Rainfall Forecasting Model for Sustainable and Adaptive Infrastructure Planning
H. A. Alif, M. J. Mashrafi, U. Haldar, et al.
Discover Sustainability 7, 376 (2026)
Q1 Springer Nature
J5 Agricultural Impact on Groundwater Utilization in the Manimuktha Sub-Basin of Vellar River
P. Kamaraj, D. Subramani & H. A. Alif
Environmental Earth Sciences 85, 16 (2026)
Q1 Springer Nature
J6 A Systematic GIS and Remote Sensing Based Approach for Mapping Groundwater Recharge Zones in Kallakurichi District, Tamil Nadu, India
D. Subramani, P. Kamaraj, H. A. Alif, et al.
Discover Sustainability 6, 1424 (2025)
Q1 Springer Nature

Manuscripts Under Review

J7 Harnessing AI-GIS Intelligence for Temperature-Driven Drought Early Warning and Agricultural Risk Mapping in Bangladesh
H. A. Alif, M. J. Mashrafi
Scientific Reports (Nature Portfolio)
Under Review Q1
J8 Seasonality and Wind Stilling in a Changing Coastal Climate: Machine Learning Insights from Multi-Decadal Analysis in Bangladesh
H. A. Alif, M. J. Mashrafi, et al.
Mediterranean Geoscience Reviews (Springer)
Under Review
J9 Half-Century Wind Resource Assessment and Energy Yield Mapping of Bangladesh Using Hybrid Spatio-Temporal Machine Learning
H. A. Alif, M. J. Mashrafi
International Journal of Climatology (Wiley)
Under Review
J10 A Hybrid Modeling Framework for Decadal Warming Assessment and Sustainability-Related Heat Risk in Data-Scarce South Asia
H. A. Alif, M. J. Mashrafi, et al.
Environment, Development and Sustainability (Springer)
Under Review

IEEE Conference Papers

C1 Unsupervised Machine Learning for Climate Surveillance: Comparative Temperature Anomaly Detection in Northwestern Bangladesh
H. A. Alif, M. J. Mashrafi, U. Haldar, S. Selim, A. Ullah, M. M. Rahman
ICICIS 2025 — 2nd International Conference on Integration of Computational Intelligent System
IEEE
C2 Causality-Informed XGBoost Framework for Attribution of Temperature Extremes in Remote Maritime Climates (Australia)
M. J. Mashrafi, H. A. Alif, R. Tajrin, V. Debnath, Z. B. Sajid, R. N. Tasin
ICMNWC 2025 — 5th International Conference on Mobile Networks and Wireless Communications
IEEE Cited: 2
C3 Adaptive Ensemble Learning with Dynamic Weighting for Regional Temperature Extremes Detection Using Climate Teleconnections
M. J. Mashrafi, H. A. Alif, A. Biswas, N. Majumder, F. A. Romit, I. U. Alam
ICCES 2025 — 10th International Conference on Communication and Electronics Systems
IEEE
C4 Unsupervised Climate Anomaly Detection with Isolation Forest and OCSVM
H. A. Alif, A. D. Nath, M. J. Mashrafi, U. F. Lamia, S. R. Islam, S. S. Oishe
ICISC 2025 — 9th International Conference on Inventive Systems and Control
IEEE Cited: 5
C5 Comparative Machine Learning Framework for Rainfall Forecasting and Agricultural Loss Estimation
H. A. Alif, M. J. Mashrafi, M. Uddin, J. Ahmed, F. Faiyaz, S. Selim
CMSS 2025 — International Conference on Modern Sustainable Systems
IEEE Cited: 7
C6 Spatio-Temporal Deep Neural Modelling for Climate Anomaly Detection using CNN-LSTM Networks
H. A. Alif, P. Kamaraj, Md. Assaduzzaman, A. D. Nath
ICSCSA 2025 — 5th International Conference on Soft Computing for Security Applications
IEEE Cited: 6
C7 Hybrid Climate Forecasting using Ensemble Learning and Trend Detection
H. A. Alif, V. Paramasivam, S. Rajendran, A. D. Nath, Md. Assaduzzaman
ICSCDS 2025 — 3rd International Conference on Sustainable Computing and Data Communication Systems
IEEE Cited: 5
C8 Explainable Machine Learning for Preoperative Prediction of Tumor Focality in Thyroid Cancer
H. A. Alif, M. J. Mashrafi, S. Selim, U. Haldar, A. Ullah, R. Das
COMPUTINGCON 2025 — International Conference on Computing and Communications
IEEE
C9 Evaluating LLMs in Higher Education: A SEM Based Comparison of ChatGPT and DeepSeek Using the IS Success Model
H. A. Alif, M. J. Mashrafi, S. R. Islam, A. Fahim, A. D. Nath, J. Ahmed
ASIANCON 2025 — 5th Asian Conference on Innovation in Technology
IEEE
C10 Volumetric MRI-Based Lesion Segmentation in Traumatic Brain Injury via a 3D U-Net Deep Learning Model
H. A. Alif, V. Paramasivam, S. Rajendran, A. D. Nath, Md. Assaduzzaman
ICISC 2025 — 9th International Conference on Inventive Systems and Control
IEEE Cited: 5
C11 Challenging Federated Learning for Drug–Gene Interaction Prediction: A Comparative Study of FedAvg and FedProx
M. J. Mashrafi, H. A. Alif, U. Haldar, M. M. Rahman, M. A. Miah, M. H. Hasan
ICIDCA 2025 — 7th International Conference on Innovative Data Communication Technologies
IEEE Cited: 1
C12 Federated vs. Centralized GCNs for Privacy-Preserving Drug–Gene Interaction Prediction
M. J. Mashrafi, H. A. Alif, M. Uddin, U. Haldar, L. Hasan, M. M. Rahman
ICIDCA 2025 — 7th International Conference on Innovative Data Communication Technologies
IEEE
C13 Contrastive Hypergraph Networks with Adaptive Negative Sampling for Low-Frequency Drug-Drug Interactions
M. J. Mashrafi, H. A. Alif, M. Uddin, S. Selim, U. Haldar, M. B. Tabassum
ICICNCT 2025 — International Conference on Intelligent Communication Networks
IEEE Cited: 2

Research Experience

AI-Driven Climate Forecasting & Flood Risk Modeling Related: J.1, J.4

Developed hybrid LSTM and ensemble ML models for multi-station rainfall forecasting using spatiotemporal climate data. Integrated GIS-based flood risk mapping for climate-resilient infrastructure planning. Proposed AI-GIS drought early warning systems and agricultural risk maps; validated models against statistical baselines improving forecasting accuracy and spatial reliability.

LSTM Ensemble ML GIS Flood Risk
Temperature & Climate Risk Modeling Related: J.2, J.3, C.1–C.3

Built ensemble and causality-informed ML frameworks for long-term temperature forecasting across Ethiopia, Bangladesh, and Australia. Performed trend detection and time-series anomaly analysis. Proposed Climate Pattern Shift Index (CPSI) — an ML-based metric for quantifying temporal instability in annual temperature profiles.

XGBoost Causal Inference Time Series CPSI
Geospatial Intelligence & Remote Sensing Related: J.5, J.6

Applied GIS and Landsat-9 TIR data for urban heat island assessment across Chennai Metropolitan Region. Developed groundwater recharge zone mapping for Kallakurichi District, Tamil Nadu using systematic remote sensing approaches.

QGIS ArcGIS Pro Landsat-9 Remote Sensing
Unsupervised Anomaly Detection & Deep Learning Related: C.4–C.7

Benchmarked Isolation Forest and OCSVM pipelines for climate surveillance. Developed spatio-temporal CNN-LSTM networks for multi-scale climate anomaly detection. Implemented 3D U-Net models for volumetric medical image segmentation.

Isolation Forest OCSVM CNN-LSTM 3D U-Net
R&D Member 2022 – Present
Dhaanish Ahmed College of Engineering (Anna University)

Contributing to AI/ML research projects in climate science and geospatial analysis. Collaborating on model development, experiments, and peer-reviewed research publications.

Teaching Assistant (Part-time) 2023 – Present
Private Coaching Center

Assisted in teaching mathematics and programming to undergraduate students. Mentored students in problem-solving and exam preparation.

Research Skills

Advanced AI & Machine Learning

  • LSTM / CNN-LSTM Networks
  • XGBoost / Random Forest
  • Ensemble Methods
  • 3D U-Net
  • Isolation Forest / OCSVM
  • Causal Inference

Geospatial & Remote Sensing

  • QGIS
  • ArcGIS Pro
  • Landsat / Satellite Data Analysis
  • GIS-Based Spatial Modeling

Scientific Programming

  • Python (TensorFlow, Scikit-learn)
  • Pandas / NumPy
  • R Programming
  • Java / C

Research Methods

  • Systematic Review
  • Meta-Analysis
  • Statistical Analysis
  • Scientific Writing
  • Reproducible ML Pipelines

Honors & Awards

Nov 2025

Best Performance Award 2025

Dhaanish Ahmed College of Engineering — Outstanding contributions to R&D in AI, ML & climate-focused studies

Nov 2024

Outstanding Student of the Year 2024

Dhaanish Ahmed College of Engineering — Academic & Skill-Based Excellence

Academic Service

Journal Reviewer

  • Earth Systems and Environment (Q1, Springer Nature) — 8+ articles
  • PLoS Climate (Q1)
  • Scientific Reports (Q1, Nature Portfolio)
  • Geo: Geography and Environment (Q2, Wiley)

Technical Program Committee

  • CVMI-2025 (NIT Rourkela)
  • IEEE INDISCON 2025 (NIT Rourkela)
  • CICN-2025 (NIT Goa) — TPC Member
  • IEEE iSSSC 2025 (GIET University)

Professional Memberships

IEEE Member (Active, 2+ yrs) IEEE Communications Society IEEE Electron Devices Society IEEE GRSS IEEE Industry Applications Society

Volunteering

Red Crescent Youth (RCY) Volunteer
Bangladesh Red Crescent Society (BDRCS)

Conducted environmental assessments and drought risk analysis, supporting data-driven disaster preparedness and climate resilience initiatives in local communities.